Mean-Standard Deviation Descriptor and Line Matching
WANG Zhi-Heng1,2, WU Fu-Chao1
1.National Laboratory of Pattern Recognition, Institute of Automation,Chinese Academy of Sciences, Beijing 100190 2.College of Computer Science and Technology, Henan Polytechnic University, Jiaozue 454003
Abstract An idea is put forward for automatic line matching based on line descriptor. Firstly, a parallel neighborhood for a line segment is defined and it is decomposed into several parallel line segments. Next, a line description matrix (DM) is formed by selecting an image feature. Finally, the descriptor of line descriptor is obtained by computing the mean and standard deviation of column vectors of DM. Thus, the line descriptor construction is accomplished. Based on different image features (gray, gradient and gradient magnitude), three line descriptors are proposed for line matching and all of them are invariant to image shift, rotation, and linear illumination changes. Experimental results show that these descriptors have good performance in line matching.
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2009, Vol. 22 
